Longitudinal research is a broad field in which substantial advances have been made over the past decade. Unlike many of the existing books that only address the analysis of information. The Handbook of Longitudinal Research covers design and measurement as well as the data analysis.
Designed for use by a wide-ranging audience, this Handbook not only includes perspective on the methodological and data analysis problems in longitudinal research but it also includes contributors' data sets that enable readers who lack sophisticated statistics skills to move from theories about longitudinal data into practice.
As the comprehensive reference, this Handbook has no direct competition as most books in this subject area are more narrowly specialized and are pitched at a high mathematical level.
- Contributors and subject areas are interdisciplinary to reach the broadest possible audience (i.e., psychology, epidemiology, and economics research fields)
- Summary material will be included for less sohisticated readers
- Extensive coverage is provided of traditional advanced topics
2. Measurement Issues in Longitudinal Research (6 chapters)
3. Descriptive and Causal Analysis in Longitudinal Resarch (6 chapters)
4. Description and Measurement of Qualitative Change (5 chapters)
5. Timing of Qualitative Change: Event History Analysis (4 chapters)
6. Panel Analysis, Structural Equation Models, and Multilevel Models (6 chapters)
7. Time Series Analysis and Deterministic Dynamic Models (3 chapters)